Read 7-Appendices.pdf text version

ComparativeCross-CountryTables

PART

APPENDICES

7

75

Appendices

APPENDIX A: ICP-AFRICA COUNTRY TEAMS AND SUB REGIONAL COORDINATION

Angola: Joaquim Flávio de Sousa Couto; José Manuel de Castro; MariadeLourdesdeAlmeidaeCosta;PioJoséAltinoLucas Benin: VodounouCosme;AlayèFlenonAgnès;EkuéPierreCredo; TogonouHippolyte Botswana: AnnaMajelantle;KetsoMakhumalo;JamesKataleº Burkina Faso: Ouattara Bamory; Belemkoabga Lucien; Kaboré Barbi;KonatéFatoumataSylvie Burundi: Buzingo Déogratias; Dusenge Floride; Kamwenubusa Janvière;NduwabikeNoé Cameroun: Tedou Joseph; Bougna Lonla Théophile; She Etoundi JosephGuyBenjamin;TchamdaClaude Cape Verde±: Francisco Fernandes Tavares; Aguinaldo Gomes Monteiro;CelsoHerminioSoaresRibeiro;JosephBrites Central African Republic: Jean-Louis Alfred Sabendo; Félicité GuerendoSepo;MarieLaureDengouDokossi;RogerYele Chad: OusmanAbdoulayeHaggar;FangamlaMarandi;SymphorienNdangTabo;VourboubeFélicité Comoros±: Djamaldine Mohamed; Msaidie Mohamed; Nailane Mhadji;RahamatouHoumadiAli Congo: Samuel Ambapour Kosso; Abandzounou Joséphine; MakangaFredDavyVictor;MbaloulaMarcel

Congo, Democratic Republic±: Mukunda Jeba Munandi; Grégoire EbulelangKankwanda;Ingani-BongoJean-Louis;YvonneKamabu Kahindo Côte d'Ivoire: MeleuMathieu;EdiSergeJean;EnohMoïseGeorges; SeuYan Djibouti: Amareh Ali Said; Farah Abdi Djama; FatoumaFarah Iltireh;IdrissAliSoultan Egypt: AbuBakerMahmodElGendy;MakaremZakyAzerGhobrial; NabileAttiaOsman;RoushdySayiedIbrahim Equatorial Guinea±:ElaOyanaJosé;JulioMembaMenga;Patricio LeleBelope;RaimundoOndoMbang Ethiopia: Samia Zekaria; Befekadu Gashaw; Leulseged Dechasa; MesheshaGetahun Gabon: WoraLouisMartin;MouandaLouisBernard;NguémaMeye PaulHenri;NsemeBitegheGobesse;Marie-ClaireMiagheº Gambia, The:AlieuS.M.Ndow;AbuCamara;MalangKeita;OusmanDibba Ghana: Grace Bediako; Asuo E. Afram; P. V. Debrah; William AntiayeAddy;BemaWadiehº Guinea±: OumarDiallo;LansanaFofana;MamadouAlphaTougué Baldé;SékouDioubaté Guinea-Bissau: CarlosMendesDaCosta;JoaquimAlves;Quintino Djassi;RobertoVieira

76

Appendices

Kenya: Antony K. M. Kilele; Collins M. Omondi; David O. Oyoo; PasquelK.Gichohi Lesotho: Liengoane Lefosa; Kabeli 'Mefane; Malehloa Molato; MantoaTseuoa;PalesaMabote;ThaboThobei Liberia: EdwardT.Liberty;AloysiusC.Heagbetu;JamesA.Sawo; JamesYangbie Madagascar: Andriamampianiana Rakotomalala; RandriambolamanitraSamüel;RandriamihaminaHenintsoaLalaniaina;RazafimantenaTiarayEdouard Malawi: Charles Machinjili; Alick Mphonda; James Ndawala; V. Kunkwezu Mali: Fatoumata Sidibé Dicko; Mahmoud Ali Sako; Mme Konaré KadidiaDaou;SambaDoumbia Mauritania: Baba Ould Boumeiss; Diop Ibrahima; El Houssein OuldMohamedLemine;MohamedChouaibFall;AmadouSeydou Kaneº;ChouhdyLehbibº Mauritius: HarishBundhoo;CheungKaiSuetAimeeLiFa;DawoonauthMukesh;OwadallyAyeshabee Morocco: BourchachenJamal;M'barekFellah;MohammedYoussef; MostaphaAfkir Mozambique: João Dias Loureiro; Firmino A. Guiliche; Luis Munganba;SaideDade Namibia: FamuelHangula;AloysiusTsheehama;NdamonaCKali; StevenAmuulo;ValeriaISheehamaº Niger: AbdoullahiBeidou;AbdoulayeYahaya;MamanLaoualiAdo; SaniTanimoune Nigeria: V.O.Akinyosoye;E.G.Ofili;MayakiA.Sj.;NwabokuO.F. Rwanda: Ir.MunyakaziLouis;BabyeyiNadine;HakizimanaObald; KabatesiGoretti;NyarwayaJeanBaptiste São Tomé & Príncipe: Pereira Da Costa Cardoso Cassandra Elsa Maria;AntóniaViegasRita;HermesdoNascimento;OlivioBretes Menezes;TeodoraSousa Senegal: Sogué Diarisso; Babakar Fall; Moumar Mbengue; YankhobaJacquesBadji

Sierra Leone: LawrenceJosephKamara;MwaluamaA.B.Gegbe; PhilipS.Amara;SantigieKabbia;ZaniabBangura South Africa: PaliJoboLehohla;EugeneModisaKgantsi;Johannes HendrikdeBeer Sudan: Awad Hag Ali Ahmed; Bouthina Mohammed Ali; Elalim AbdelGhaniMohamed;HassanIbrhimHassan Swaziland: IsabellaS.Hlophe;HansonDlamini;SebentileDlamini; ThembinkosiShabalala Tanzania: AlbinaAndrewChuwa;IddiMwenda;JoySawe;Stanley Mahembe;AugustinoK.Ntinikaº Togo: N'GuissanKokouYao;AdjiwanouK.A.Mawuli;DégboéKossi Dodji;EguidaKomlanviAfodah Tunisia: KhalifaBenFekih;BenzartiRidha;GargoubiNaceur;SaddoudAbdelkader Uganda: John Baptist Male-Mukasa; Andama Joseph; Bahemuka Stephen;NsubugaVincentMusoke Zambia: EfridaChulu;BesaMuwele;PhillipK.Miti;SipaloNgenda Zimbabwe: Moffat Nyoni; Nelson Taruvinga; Obert Manyame; MartinRanganaiBandaº;RegiesMaminaº AFRISTAT: Martin Balepa; Lompo Birimpo; Silete-Adogli V. Dodji; Moussa Ali; Tidiani Mahamadou Almouctar; Sagara Elizé; Ngok Emmanuel;Doffou N'guessan Gabriel;Biaka Tedang Djoret; AmegashieFreemanAkolly;KorikoOusman;DiarraSoumaila COMESA: MunalulaThemba,HappyBota,CatherineMwanzaMs Takavaraska ECOWAS: AkouAdjougou,JosephTinfissiIlboudo,MustaphaBobbo SADC: ZakayoMsokwa;ThaboNkala;BogadiKebonyethebe;LesegoLeagajang ICP Consultants: Agnes Derelle; Aloke Kar; Anil Sawhney; Ben Kiregyera;BenardAigbokhan;BockorK.K.Raphael,CharlotHervéPatrick; Derek Williams Blades; Doh Drah Somplely D. Bonaventure;EmanuelC.Anusionwi;EmprouJean-Michel;GuestMusaemuraCharumbira;GuigmaGilbert;JeanPierreRowennczyk;K.A. Degboe; K. A. Twum-Baah; Kantilal Munnsaad; Keith Blackburn;

77

LamineKeita;MaritY.Kitaw;MichelWard;MomarBalléSylla;Nakirya Margaret Kevin; Neil, Dourmashkin; Okwarah; Henry Uchechukwu;P.Turnbull;PennyAnneDawson-Basset,PhilippeAyena; RavendraSingh;SaddoudAbdelkader;SawadogoHamado;Thierry Paccoud ºDepartedduringtheimplementationoftheprogram ±Partiallistofparticipants

For all participating African countries, the sum of real expendituresexpressedintermsoftheAFRICunit=thesumofnominal expendituresconvertedtoU.S.dollarsateachcountry'srespective exchangerate ToarriveatAFRIC,usestartwithanycountryasthebaseforthe subsequentcalculations.Becausetheindexnumberusedistransitive,itdoesnotmatterwhichcountryisselected.Foreachparticipatingcountry,nominalexpendituresareconvertedtonominal U.S. dollar expenditures using an average annual exchange rate betweenthecountry'scurrencyandtheU.S.dollar.Thesenominal expendituresarethenre-expressedintermsofthebasecountry currencyusingtherelevantPPP. AlthoughU.S.dollarexchangeratesareusedinitscalculation,the AFRICisnotequivalenttotheU.S.dollarinPPPterms.Atalater stage of the global comparison, a set of PPPs will be calculated that will show the relationship between the AFRIC and the notionalregionalcurrencyunitsofotherregions.Atthatstagethe PPPequivalenceoftheAFRIC(andeachofthecurrenciesofAfrica) withothercurrencies,includingtheU.S.dollar,willbeknown.

APPENDIX B: AFRICAN REGIONAL INTEGRATION CURRENCY (AFRIC)

TheresultsofICPcomparisonsarenotaffectedbythechoiceof currency10usedintheirpresentation.Ratherthanselectingaparticularcurrency,anotionalAfricanregionalcurrency(AFRIC)was usedtoexpressICPresultsfortheAfricaregion. TheAFRIChasbeencalculatedtoachievethefollowingcondition:

10 The index number used in the computations is transitive. This means thattherankingsofcountriesorratiosbetweenthemarenotaffectedbythechoice ofbasecountryorcurrency.

Table 4. Number of Staff in 2005 ICP-Africa Participating Countries

COUNTRY

Angola Benin Botswana Burkina Faso Burundi Cameroon Cape Verde± Central African Republic Chad Comoros± Congo Congo, Democratic Republic± Côte d'Ivoire Djibouti Egypt Equatorial Guinea± Ethiopia Gabon Gambia, The Ghana Guinea-Bissau Guinea± Kenya Lesotho

Staff

50 63 20 73 49 93 4 52 52 4 58 4 75 13 332 4 16 34 32 82 29 4 74 58

COUNTRY

Liberia Madagascar Malawi Mali Mauritania Mauritius Morocco Mozambique Namibia Niger Nigeria Rwanda São Tomé and Príncipe Senegal Sierra Leone South Africa Sudan Swaziland Tanzania Togo Tunisia Uganda Zambia Zimbabwe Total Africa

Staff

35 59 42 25 52 22 66 48 22 79 114 25 32 49 45 3 95 22 73 31 47 34 87 208 2,590

78

Appendices

APPENDIX C: 2005 ICP-AFRICA CLASSIFICATION

CODES

0 1 1.01 1.01.1 1.01.1.01 1.01.1.01.1 1.01.1.01.2 1.01.1.01.3 1.01.1.01.4 1.01.1.01.5 1.01.1.02 1.01.1.02.1 1.01.1.02.2 1.01.1.02.3 1.01.1.02.4 1.01.1.02.5 1.01.1.02.6 1.01.1.03 1.01.1.03.1 1.01.1.03.2 1.01.1.04 1.01.1.04.1 1.01.1.04.2 1.01.1.04.3 1.01.1.04.4 1.01.1.05 1.01.1.05.1 1.01.1.05.2 1.01.1.05.3 1.01.1.06 1.01.1.06.1 1.01.1.06.2 1.01.1.07 1.01.1.07.1 1.01.1.07.2 1.01.1.07.3 1.01.1.08 1.01.1.08.1 1.01.1.08.2 1.01.1.08.3 1.01.1.08.4 1.01.1.09 1.01.1.09.1 1.01.2 1.01.2.01 1.01.2.01.1

DESCRIPTION

GROSS DOMESTIC PRODUCT INDIVIDUAL CONSUMPTION EXPENDITURE BY HOUSEHOLDS FOOD AND NONALCOHOLIC BEVERAGES FOOD Bread and cereals Rice Maize, maize meal, barley, other cereals and Bread Other bakery products Pasta products Meat Beef and veal Pork Lamb, mutton and goat Poultry Other meats and edible offal Dried, preserved meats and other meat preparations Fish and seafood Fresh, chilled or frozen and seafood Preserved or processed and seafood Milk, cheese and eggs Fresh milk Preserved milk and other milk products Cheese Eggs and egg-based products Oils and fats Butter and butter products Margarine Other edible oils and fats Fruit Fresh or chilled fruits Frozen, preserved or processed fruits and fruitbased products Vegetables Fresh or chilled vegetables other than potatoes Fresh or chilled potatoes, manioc and other tubers Frozen, preserved or processed vegetables and vegetable-based products Sugar, jam, honey, chocolate and confectionery sugar Raw and Jams, marmalades and honey Confectionery, chocolate Edible ices and ice cream and sorbet Food products n.e.c. Food products n.e.c. NONALCOHOLIC BEVERAGES Coffee, tea and cocoa Coffee, tea and cocoa

CODES

1.01.2.02 1.01.2.02.1 1.01.2.02.2 1.01.2.02.3 1.02 1.02.1 1.02.1.01 1.02.1.01.1 1.02.1.02 1.02.1.02.1 1.02.1.03 1.02.1.03.1 1.02.2 1.02.2.01 1.02.2.01.1 1.02.3 1.02.3.01 1.02.3.01.1 1.03 1.03.1 1.03.1.01 1.03.1.01.1 1.03.1.02 1.03.1.02.1 1.03.1.02.2 1.03.1.02.3 1.03.1.03 1.03.1.03.1 1.03.1.04 1.03.1.04.1 1.03.2 1.03.2.01 1.03.2.01.1 1.03.2.01.2 1.03.2.01.3 1.03.2.02 1.03.2.02.1 1.04 1.04.1 1.04.1.01 1.04.1.01.1

DESCRIPTION

Mineral waters, soft drinks, fruit and vegetable juices Mineral or spring waters Soft drinks and concentrates Fruit and vegetable juices ALCOHOLIC BEVERAGES, TOBACCO AND NARCOTICS ALCOHOLIC BEVERAGES Spirits Spirits Wine Wine Beer Beer TOBACCO Tobacco Tobacco NARCOTICS Narcotics Narcotics CLOTHING AND FOOTWEAR CLOTHING Clothing materials Clothing materials, other articles of clothing and clothing accessories Garments Men's clothing as charges Women's clothing as

above including tailoring above including tailor-

ing charges Children's and infant's clothing including tailoring charges Other articles of clothing and clothing accessories Other articles of clothing and clothing accessories Cleaning, repair and hire of clothing Cleaning, repair and hire of clothing FOOTWEAR Shoes and other footwear Men's footwear as above Women's footwear as above Children's and infant's footwear as above; excludes baby booties made of fabric Repair and hire of footwear Repair and hire of footwear HOUSING, WATER, ELECTRICITY GAS AND OTHER , FUELS ACTUAL RENTALS FOR HOUSING Actual rentals for housing Actual rentals for housing

79

CODES

1.04.2 1.04.2.01 1.04.2.01.1 1.04.3 1.04.3.01 1.04.3.01.1 1.04.4 1.04.4.01 1.04.4.01.1 1.04.4.02 1.04.4.02.1 1.04.5 1.04.5.01 1.04.5.01.1 1.04.5.02 1.04.5.02.1 1.04.5.03 1.04.5.03.1 1.05 1.05.1 1.05.1.01 1.05.1.01.1 1.05.1.02 1.05.1.02.1 1.05.1.03 1.05.1.03.1 1.05.2 1.05.2.01 1.05.2.01.1 1.05.3 1.05.3.01 1.05.3.01.1 1.05.3.02 1.05.3.02.1 1.05.3.03 1.05.3.03.1 1.05.4 1.05.4.01 1.05.4.01.1 1.05.5 1.05.5.01 1.05.5.01.1 1.05.5.02 1.05.5.02.1 1.05.6 1.05.6.01 1.05.6.01.1

DESCRIPTION

IMPUTED RENTALS FOR HOUSING Imputed rentals for housing Imputed rentals for housing MAINTENANCE AND REPAIR OF THE DWELLING Maintenance and repair of the dwelling Maintenance and repair of the dwelling WATER SUPPLY AND MISCELLANEOUS SERVICES RELATING TO THE DWELLING Water supply Water supply Miscellaneous services relating to the dwelling Sanitary and sewage services and other services ELECTRICITY, GAS AND OTHER FUELS Electricity Electricity Gas Gas Other fuels Other fuels FURNISHINGS, HOUSEHOLD EQUIPMENT AND ROUTINE HOUSEHOLD MAINTENANCE FURNITURE AND FURNISHINGS, CARPETS AND OTHER FLOOR COVERINGS Furniture and furnishings Furniture and furnishings Carpets and other coverings

CODES

1.05.6.02 1.05.6.02.1 1.05.6.02.2 1.06 1.06.1 1.06.1.01 1.06.1.01.1 1.06.1.02 1.06.1.02.1 1.06.1.03 1.06.1.03.1 1.06.2 1.06.2.01 1.06.2.01.1 1.06.2.02 1.06.2.02.1 1.06.2.03 1.06.2.03.1 1.06.3 1.06.3.01 1.06.3.01.1 1.07 1.07.1 1.07.1.01 1.07.1.01.1 1.07.1.02 1.07.1.02.1 1.07.1.03 1.07.1.03.1 1.07.1.04 1.07.1.04.1 1.07.2 1.07.2.01 1.07.2.01.1 1.07.2.02 1.07.2.02.1 1.07.2.03 1.07.2.03.1 1.07.3 1.07.3.01 1.07.3.01.1 1.07.3.02 1.07.3.02.1 1.07.3.03 1.07.3.03.1

DESCRIPTION

Domestic services and household services Domestic services Household services HEAL TH MEDICAL PRODUCTS, APPLIANCES AND EQUIPMENT Pharmaceutical products Pharmaceutical products Other medical products Other medical products Therapeutic appliances and equipment Therapeutic appliances and equipment OUTPATIENT SERVICES Medical services Medical services Dental services Dental services Paramedical services Paramedical services HOSPITAL SERVICES Hospital services Hospital services TRANSPORT PURCHASE OF VEHICLES Motor cars Motor cars, vans, etc. Motorcycles Motorcycles Bicycles Bicycles Animal-drawn vehicles Animal-drawn vehicles OPERATION OF PERSONAL TRANSPORT EQUIPMENT Fuels and lubricants for personal transport equipment Fuels and lubricants for personal transport equipment Maintenance and repair of personal transport equipment Tyres, tubes, other parts and accessories Other services in respect of personal transport equipment Other services in respect of personal transport equipment TRANSPORT SERVICES Passenger transport by railway Passenger transport by railway Passenger transport by road Passenger transport by road Passenger transport by air Passenger transport by air

Repair of furniture, furnishings and coverings HOUSEHOLD TEXTILES Household textiles Household textiles HOUSEHOLD APPLIANCES Major household appliances whether electric or not Major household appliances whether electric or not Small electric household appliances Small electric household appliances Repair of household appliances Repair of household appliances GLASSWARE, TABLEWARE AND HOUSEHOLD UTENSILS Glassware, tableware and household utensils Glassware, tableware and household utensils TOOLS AND EQUIPMENT FOR HOUSE AND GARDEN Major tools and equipment Major tools and equipment Small tools and miscellaneous accessories Small tools and miscellaneous accessories GOODS AND SERVICES FOR ROUTINE HOUSEHOLD MAINTENANCE Nondurable household goods Nondurable household goods

80

Appendices

CODES

1.07.3.04 1.07.3.04.1 1.07.3.05 1.07.3.05.1 1.07.3.06 1.07.3.06.1 1.08 1.08.1 1.08.1.01 1.08.1.01.1 1.08.2 1.08.2.01 1.08.2.01.1 1.08.3 1.08.3.01 1.08.3.01.1 1.09 1.09.1 1.09.1.01 1.09.1.01.1 1.09.1.02 1.09.1.02.1 1.09.1.03 1.09.1.03.1 1.09.2 1.09.2.01 1.09.2.01.1 1.09.2.02 1.09.2.02.1 1.09.3 1.09.3.01 1.09.3.01.1 1.09.3.02 1.09.3.02.1 1.09.3.03 1.09.3.03.1 1.09.4 1.09.4.01 1.09.4.01.1 1.09.4.02 1.09.4.02.1 1.09.4.03 1.09.4.03.1

DESCRIPTION

Passenger transport by sea and inland waterway Passenger transport by sea and inland waterway Combined passenger transport Combined passenger transport Other purchased transport services Other purchased transport services COMMUNICATION POSTAL SERVICES Postal services Postal services TELEPHONE AND TELEFAX EQUIPMENT Telephone and telefax equipment Telephone and telefax equipment TELEPHONE AND TELEFAX SERVICES Telephone and telefax services Telephone and telefax services RECREATION AND CUL TURE AUDIO-VISUAL, PHOTOGRAPHIC AND INFORMATION PROCESSING EQUIPMENT Audio-visual, photographic and information processing equipment Audio-visual, photographic and information processing equipment Recording media Recording media Repair of audio-visual, photographic and information processing equipment Repair of audio-visual, photographic and information processing equipment OTHER MAJOR DURABLES FOR RECREATION AND CULTURE Major durables for outdoor and indoor recreation Major durables for outdoor recreation Maintenance and repair of other major durables for recreation and culture Maintenance and repair of other major durables for recreation and culture OTHER RECREATIONAL ITEMS AND EQUIPMENT, GARDENS AND PETS Other recreational items and equipment Other recreational items and equipment Gardens and pets Gardens and pets Veterinary and other services for pets Veterinary and other services for pets RECREATIONAL AND CULTURAL SERVICES Recreational and sporting services Recreational and sporting services Cultural services Cultural services GAMES OF CHANCE Games of chance

CODES

1.09.5 1.09.5.01 1.09.5.01.1 1.09.6 1.09.6.01 1.09.6.01.1 1.10 1.10.1 1.10.1.01 1.10.1.01.1 1.10.1.01.2 1.10.1.01.3 1.10.1.01.4 1.10.1.01.5 1.11 1.11.1 1.11.1.01 1.11.1.01.1 1.11.2 1.11.2.01 1.11.2.01.1 1.12 1.12.1 1.12.1.01 1.12.1.01.1 1.12.1.02 1.12.1.02.1 1.12.2 1.12.2.01 1.12.2.01.1 1.12.3 1.12.3.01 1.12.3.01.1 1.12.3.02 1.12.3.02.1 1.12.4 1.12.4.01 1.12.4.01.1 1.12.5 1.12.5.01 1.12.5.01.1 1.12.6 1.12.6.01 1.12.6.01.1 1.12.6.02 1.12.6.02.1

DESCRIPTION

NEWSPAPERS, BOOKS AND STATIONERY Newspapers, books and stationery Newspapers, books and stationery PACKAGE HOLIDAYS Package holidays Package holidays EDUCATION EDUCATION Education Nursery school and primary school General, vocational or technical secondary education Postsecondary nontertiary education Tertiary education Educational program, generally for adults RESTAURANTS AND HOTELS CATERING SERVICES Catering services Catering services in hotels and restaurants, catering services in informal sector ACCOMMODATION SERVICES Accommodation services Accommodation services MISCELLANEOUS GOODS AND SERVICES PERSONAL CARE Hairdressing salons and personal grooming establishments Hairdressing salons and personal grooming establishments Appliances, articles and products for personal care Appliances, articles and products for personal care PROSTITUTION Prostitution Prostitution PERSONAL EFFECTS N.E.C. Jewelry, clocks and watches Jewelry, clocks and watches Other personal effects Other personal effects SOCIAL PROTECTION Social protection Social protection INSURANCE Insurance Insurance FINANCIAL SERVICES N.E.C. Financial intermediation services indirectly measured Financial intermediation services indirectly measured Other services n.e.c.

81

CODES

1.12.7 1.12.7.01 1.12.7.01.1 1.13 1.13.1 1.13.1.01 1.13.1.01.1 1.13.1.01.2 2

DESCRIPTION

OTHER SERVICES N.E.C. Other services n.e.c. Other services n.e.c. NET PURCHASES ABROAD NET PURCHASES ABROAD Net purchases abroad Purchases by resident households in the rest of the world Purchases by nonresident households in the economic territory of the country INDIVIDUAL CONSUMPTION EXPENDITURE BY NONPROFIT INSTITUTIONS SERVING HOUSEHOLDS (NPISHs) INDIVIDUAL CONSUMPTION EXPENDITURE BY NPISHs INDIVIDUAL CONSUMPTION EXPENDITURE BY NPISHs Individual consumption expenditure by NPISHs Individual consumption expenditures by NPISHs INDIVIDUAL CONSUMPTION EXPENDITURE BY GOVERNMENT HOUSING HOUSING Housing Housing HEAL TH HEALTH BENEFITS AND REIMBURSEMENTS Medical products, appliances and equipment Pharmaceutical products Other medical products Therapeutic appliances and equipment HEALTH SERVICES Outpatient medical services Outpatient dental services Outpatient paramedical services Hospital services NONMARKET HEALTH SERVICES Compensation of employees Compensation of employees Intermediate consumption Intermediate consumption Gross operating surplus Gross operating surplus Net taxes on production Net taxes on production Receipts from sales Receipts from sales RECREATION AND CUL TURE RECREATION AND CULTURE Recreation and culture Recreation and culture

CODES

3.04 3.04.1 3.04.1.01 3.04.1.01.1 3.04.2 3.04.2.01 3.04.2.01.1 3.04.2.01.2 3.04.2.01.3 3.04.2.01.4 3.04.2.01.5 3.04.2.02 3.04.2.02.1 3.04.2.02.2 3.04.2.02.3 3.04.2.02.4 3.04.2.02.5 3.04.2.03 3.04.2.03.1 3.04.2.03.2 3.04.2.03.3 3.04.2.03.4 3.04.2.03.5 3.04.2.04 3.04.2.04.1 3.04.2.04.2 3.04.2.04.3 3.04.2.04.4 3.04.2.04.5 3.04.2.05 3.04.2.05.1 3.04.2.05.2 3.04.2.05.3 3.04.2.05.4 3.04.2.05.5 3.05 3.05.1 3.05.1.01 3.05.1.01.1 3.05.1.02 3.05.1.02.1 4 4.01 4.01.1 4.01.1.01 4.01.1.01.1 4.01.1.02 4.01.1.02.1 4.01.1.03 4.01.1.03.1

DESCRIPTION

EDUCATION EDUCATION BENEFITS AND REIMBURSEMENTS Education and reimbursements NONMARKET EDUCATION SERVICES Primary and pre-primary education services Compensation of employees Intermediate consumption Gross operating surplus Net taxes on production Receipt from sales Secondary education services Compensation of employees Intermediate consumption Gross operating surplus Net taxes on production Receipt from sales Postsecondary nontertiary education Compensation of employees Intermediate consumption Gross operating surplus Net taxes on production Receipt from sales Tertiary education services Compensation of employees Intermediate consumption Gross operating surplus Net taxes on production Receipt from sales Compensation of employees Intermediate consumption Gross operating surplus Net taxes on production Receipt from sales SOCIAL PROTECTION SOCIAL PROTECTION Social protection cash or in kind Social protection administration, operation or support of social protection schemes Social protection administration, operation or support of social protection schemes COLLECTIVE CONSUMPTION EXPENDITURE BY GOVERNMENT COLLECTIVE SERVICES COLLECTIVE SERVICES Compensation of employees Compensation of employees Intermediate consumption Intermediate consumption Gross operating surplus Gross operating surplus

2.01 2.01.1 2.01.1.01 2.01.1.01.1 3 3.01 3.01.1 3.01.1.01 3.01.1.01.1 3.02 3.02.1 3.02.1.01 3.02.1.01.1 3.02.1.01.2 3.02.1.01.3 3.02.1.02 3.02.1.02.1 3.02.1.02.2 3.02.1.02.3 3.02.1.02.4 3.02.2 3.02.2.01 3.02.2.01.1 3.02.2.02 3.02.2.02.1 3.02.2.03 3.02.2.03.1 3.02.2.04 3.02.2.04.1 3.02.2.05 3.02.2.05.1 3.03 3.03.1 3.03.1.01 3.03.1.01.1

82

Appendices

CODES

4.01.1.04 4.01.1.04.1 4.01.1.05 4.01.1.05.1 5 5.01 5.01.1 5.01.1.01 5.01.1.01.1 5.01.1.02 5.01.1.02.1 5.01.1.02.2 5.01.1.03 5.01.1.03.1 5.01.1.03.2 5.01.1.03.3 5.01.1.03.4 5.01.1.03.5 5.01.1.03.6 5.01.1.04 5.01.1.04.1 5.01.1.04.2 5.01.1.04.3 5.01.1.04.4 5.01.1.04.5 5.01.1.05 5.01.1.05.1 5.01.2 5.01.2.01 5.01.2.01.1 5.01.2.01.2 5.01.2.02 5.01.2.02.1 5.02 5.02.1 5.02.1.01 5.02.1.01.1 5.02.2 5.02.2.01 5.02.2.01.1 5.02.3 5.02.3.01 5.02.3.01.1

DESCRIPTION

Net taxes on production Net taxes on production Receipts from sales Receipts from sales GROSS FIXED CAPITAL FORMATION MACHINERY AND EQUIPMENT METAL PRODUCTS AND EQUIPMENT Fabricated metal products, except machinery and equipment Fabricated metal products, except machinery and equipment General purpose machinery Engines and turbines Other general purpose machinery Special purpose machinery Agricultural and forestry machinery Machine tools Machinery for metallurgy, mining, quarrying and construction Machinery for food, beverage and tobacco processing Machinery for textile, apparel and leather production Other special purpose machinery Electrical and optical equipment machinery except computers Computers and other information processing equipment Electrical machinery and apparatus Radio and television and communication equipment and apparatus Medical, precision and optical instruments, watches and clocks Other manufactured goods n.e.c. Other manufactured goods n.e.c. TRANSPORT EQUIPMENT Road transport equipment Motor vehicles, trailers and semitrailers Other road transport Other transport equipment Other transport equipment CONSTRUCTION RESIDENTIAL BUILDINGS Residential buildings Residential buildings NONRESIDENTIAL BUILDINGS Nonresidential buildings Nonresidential buildings CIVIL ENGINEERING WORKS Civil engineering works Civil engineering works

CODES

5.03 5.03.1 5.03.1.01 5.03.1.01.1 6 6.01 6.01.1 6.01.1.01 6.01.1.01.1 6.02 6.02.1 6.02.1.01 6.02.1.01.1 6.02.1.01.2 7 7.01 7.01.1 7.01.1.01 7.01.1.01.1 7.01.1.01.2

DESCRIPTION

OTHER PRODUCTS OTHER PRODUCTS Other products Other products CHANGES IN INVENTORIES AND ACQUISITIONS LESS DISPOSALS OF VALUABLES CHANGES IN INVENTORIES CHANGES IN INVENTORIES Changes in inventories Changes in inventories ACQUISITIONS LESS DISPOSALS OF VALUABLES ACQUISITIONS LESS DISPOSALS OF VALUABLES Acquisitions less disposals of valuables Acquisitions of valuables Disposals of valuables BALANCE OF EXPORTS AND IMPORTS BALANCE OF EXPORTS AND IMPORTS BALANCE OF EXPORTS AND IMPORTS Balance of exports and imports Exports of goods and services Imports of goods and services

83

APPENDIX D: 2005 ICP-AFRICA INDEX AGGREGATION METHODOLOGY

The choice of aggregation method influences the results of international comparisons (both real incomes and rankings). The followingmethodswereusedtoaggregateresultsfor2005ICPAfrica.Detailedaggregationsatthebasicheadinglevelweredone using the country-product-dummy (CPD) method. Higher-level aggregations were done using the Iklé index. In 1993 ICP-Africa, detailedaggregationsatthelevelofthebasicheadingweredone usingtheEltetoKöves-Szulc(EKS)method.Higher-levelaggregationswerealsodoneusingtheEKSmethod,althoughforalimited setofresultstheGeary-Khamis(GK)methodwasapplied. ICPaggregationincludesthreesteps.First,averageproductprices aregeneratedforeachcountry.Second,unweightedbasicheading paritiesareobtainedfromtheaverageprices(thisstepiscalled elementaryaggregation).Third,basicheadingparitiesareaggregatedusingcorrespondingbasicheadingexpenditurestoarriveat the PPPs--and hence price-adjusted real quantities--for each expenditurecategoryuptothehighestlevel(e.g.,GDPorindividual consumption).Inthefollowingsections,theaggregationmethods attheelementaryandhigherlevelsareconsidered. Elementary aggregator: ICP-AfricaadoptedtheCPDmethodasthe elementary aggregator in the 2005 ICP round. The CPD method wasconsideredthemostappropriategiventhenatureofthedata availableandinviewoftheadvantagesidentifiedbyErwinDiewertandYuriDikhanov. Considerablerecentstudyhadbeendoneontheuseofelementary aggregators,bothinthecontextoftheICPandintheconstruction ofconsumerpriceindexes(CPIs).11Recentresearchshowsthatthe choiceofelementaryaggregatordependsinpartonthenatureof the data sets to which it is applied. In 1993 ICP-Africa, the EKS methodwasusedtoprovideaggregationofelementarydata.Europeanstudiesshowedthattheperformanceoftheaggregation methodcouldbeenhancedbyincludingreliableinformationabout therepresentativityoftheunderlyingprices.EarlyICPcomparisons usedregressiontechniquessuchastheCPDmethodofaggregation.InarecentpaperDiewert(2004b)stated,`Amainadvantage of the CPD method for comparing prices across countries over traditionalindexnumbermethodsisthatwecanobtainstandard

errors forthecountrypricelevels'.Summers(1973)andmorerecentlySelvanathanandRao(1994)stressedtheadvantageofthe stochasticapproachtoindexnumbertheory.YuriDikhanov(2004) showedthatwhenthepricematrixwasdenseandtherepresentativityofthepriceswascloseto100percent,thechoiceofaggregationmethodwasunimportant.Importantly,healsoshowedthat theCPDmethodwasamorerobustalternativewhenusedwith sparse price and representativity data. He compares variants of theEKSandCPDmethodsbothwithandwithoutrepresentativity informationusingMonteCarlosimulations. A CPD index can be presented in two equivalent forms: with or withouttheintercept.First,theregressionequationfortheCPD canbewrittenas ln pcp = ycp = xcp + cp (1)

where pcp is price of product p in country c, Dcj and Dci are country and product dummies, and Np and Nc represent the number of products and countries, respectively: xcp = =

[ Dc

2

... DcNcDp1Dp2 ... DcNp

]

[

... Ncy1y2 ... yNp 2

]

T

(2)

In matrix notation, by stacking individual observations this can be written as y = Xâ + å (3)

Note that the country dummy is dropped from the system because matrix X is of rank (Np+Nc-1). (In fact, we can drop any variable from the system. Dropping the country 's dummy simply makes it the base country.) The solution is given (under the conditions of independently and identically distributed random disturbances) by â = (X X) X y

T -1 T

(4)

In addition, we can drop one product variable (for example, the firstproductdummy)andintroducetheintercept.ThisisthesecondformoftheCPD.Inthiscase,12

11 Foracomprehensivediscussionofelementaryaggregatoralternatives, see World Bank (2004), Chapter 11, "Estimation of PPPs for Basic Headings". The propertiesandbehaviourofelementaryindicesarealsoexplainedinsomedetailby Diewert(2004a).Althoughwritteninthecontextofconsumerpriceindexconstruction,muchofthediscussionisequallyrelevanttobasicheadingPPPs.Thetopichas alsobeenthesubjectofrecentpapersbyDiewert,Dikhanov,PrasadaRaoandothers.

12 purpose.

Notethatthesign(`)doesnotmeantranspose.Sign(T)isusedforthat

84

Appendices

x'cp = ' =

[ Dc

2

... DcNcDp1Dp2 ... DcNp

]

T

[ '

... ' Nc Cintercept y'2 ... y'Np 2

]

(5)

Sometimesthesepropertiesmaybemutuallyexclusive,inwhich case choices must be made as to which is the more important. Diewert(1987)setoutanumberofthoseproperties.15Someimportantpropertiesarelistedbelow: Base-country invariance: Thechoiceofabasecountrydoes notaffecttherelativeincomeorpricelevelsofindividual countries,i.e.,thecountryselectedasthebaseservesas anumeraireonly. Matrix consistency: Thispropertyissometimescalledadditivity. Quantities obtained through applying the index shouldsatisfytworequirements:thevaluesforanycategoryshouldbedirectlycomparablebetweencountriesas wellasbetweencategories. Factor-reversal test: Theproductofthepriceandquantity ratiosequalsthenominalexpenditureratio. Transitivity: Any pair-wise comparisons between the indexesaretransitiveinthesensethat Ikj = Ilj / Ilk

y = X'â' + å

(6)

The solutions of systems (4) and (6)--the country and product price relatives--are identical up to a scalar in these two cases. In the case with intercept, y'i and ' j are the product for product i and country j, respectively, in this case with intercept. Higher-level aggregation method: Thestepofelementaryaggregationprovidesunweightedbasicheadingparities.TheseunweightedbasicheadingparitiesarethenaggregatedtoderivePPPsand price-adjustedrealquantitiesforeachexpenditurecategoryupto thelevelofGDP.For2005ICP-Africa,theIkléindex13hasbeenused forhigher-levelaggregation. The Iklé index maintains additivity, minimizes the Gerschenkron effect and is computationally tractable. Although some residual Gerschenkron effect is intrinsic to any additive aggregation procedure, the Iklé index minimizes this effect when compared to otheradditiveindexes.ItisconsiderablysuperiortotheGKindex in this regard. For the AfDB, additivity is important when comparing price and expenditure structures across countries and, in particular,whencomparingpovertylevels.Itisalsoimportantto avoid significant distortions to African income levels as a result of the Gerschenkron effect. Although the EKS index avoids the Gerschenkroneffect,itisnotadditive.14Becausenosingleindex meets all the preferred properties of a higher-level aggregation index,itisnecessarytocompromise.TheIkléindexoffersadditivitywhileminimizingtheGerschenkroneffectandisconsidered thebestoptionfortheAfricaprogram.Ashortsummaryofsome ofthefindingsandtheformulationoftheIkléindexisprovided below. Whenpublishingtheresultsofamultinationalstudysuchasthe ICP,thefinaldatapublicationshouldhaveanumberofproperties.

Transactions equality: Thispropertyrequiresthattherelativeimportanceofeachtransactionbedependentonlyon itsmagnitude. World representativeness: This property implies that the international price structure must reflect the price and quantitystructuresoftheworld. Statistical efficiency: Theresultsshouldbeminimallysensitive with respect to the sampling errors in the original priceandexpendituredata. ThepropertiesoftheEKScanbecomparedtotheabovecriteria. TheEKSprovides · · · · Basecountryinvariance; Transitivity; D irectinformationfortwocountries,includingrealprices; Lessvulnerabilitytostochasticerrors16;

13 TheIkléaggregationmethodusedforhigher-levelaggregationsin2005 ICP-Africawasfirstpublishedin1972,butitspotentialforuseinICPaggregationwas broughttointernationalattentionin1994inapaperpresentedbyYuriDikhanovat theTwenty-ThirdGeneralConferenceoftheInternationalAssociationforResearchin IncomeandWealthheldatSt.Andrews,NewBrunswick,Canada. 14 For a detailed comparison of the properties of the EKS, GK and Iklé aggregation procedures see Dikhanov (1997). For the reader interested in going beyondthesummaryprovidedhere,moredetailisavailableontheInternet.Several papersareincludedinthebibliographyinthisreport.

15

SeealsoKravis,HestonandSummers(1982).

16 Intests,EKShasshownlesssensitivitytostochasticerrorsinpriceand quantitydatathanhasGK.

85

·

·

R educedGerschenkroneffectduetothefactthatEKSis anunweightedgeometricmeanoftheFishers,whichdo nothavethiseffect;and Compliancewiththefactor-reversaltest.

However,theEKSfailstoprovidematrixconsistencyandtransactions equality. The index provides neither invariance to changes inpoliticalsubdivisionsnorequaltreatmentofindividualtransactionsindifferentcountries. EKShasbeenthemostwidelyusedaggregationmethodbecause it completely avoids the Gerschenkron bias, which raises the incomesofhigh-incomecountriesrelativetolow-incomecountries. For some purposes, however, it has the disadvantage of lack of additivity. The much-criticized GK methodology has been used buttoamuchlesserextentandonlyinsituationswheretheuser

considered that additivity was essential. Dikhanov (2004) comparesEKS,GKandothernonadditiveandadditiveindicesincludingIklé.Diewert(1987)statedthatgiventheimperfectionsofthe realworld,thegeneralizedEKS(GEKS)providedtheleastbiased indexavailable.Dikhanov(2004)usestheGEKSasthebenchmark againstwhichhecomparedtheperformanceoftheotherindices thatheconsidered.Hespecifiedtheproximityofanindextothe GEKSasarequirement.Becauseoftheroleofdataerrorinreal world data sets, he also tested for (i) distance, in some sense, fromGEKSand(ii)sensitivityoftheindextodataerrors. TheIkléindexisshownaspresentedinDikhanov(1994). Considerthefollowingsystemofpricesandquantities: P =

[p ]

i

j mxn

and Q =

[q ]

i

j mxn

,

for n commodities and m countries, with pij and qij 0 for Ai, j. The traditional presentation for the GK system in terms of international prices and PPP can be written as follows: i =

PPP

j i j i

p ij

j i

ij

j i j

PPPi =

p q q

i j

where ij =

q

j

q ij

i

j

Introducing country expenditure shares provides p ij q ij

i j i j

ij =

p q

j

The Iklé weights can then be presented as ij

i j

ij =

j

And,

the Iklé system can be written as

i =

PPP

j i j i

p ij

j i

ij

j i j

PPPj =

p q q

i j

86

Appendices

APPENDIX E: 2005 ICP-AFRICA REFERENCE PPPS

Pricedatawerenotcollectedforsomebasicheadings.ThePPPsforthesebasicheadingswerecalculatedfrompricedatathatwerecollectedforotherbasicheadings.SuchPPPsarecalledreferencePPPs.ThereferencePPPsusedforhouseholdfinalconsumptionexpenditureandtheconcernedbasicheadingsareindicatedinthetablebelow.

REFERENCE PPPs USED FOR HOUSEHOLD FINAL CONSUMPTION EXPENDITURE BASIC HEADING 11.02.31.1 11.09.43.1 11.12.21.1 11.09.61.1 11.12.51.1 11.12.61.1 11.13.11.1 11.13.11.2 Narcotics Games of chance Prostitution Package holidays Insurance Financial intermediation services indirectly measured Final consumption expenditure of resident households in the rest of the world Final consumption expenditure of nonresident households on the economic territory REFERENCE PPPs USED FOR FINAL CONSUMPTION EXPENDITURE BY NONPROFIT INSTITUTIONS SERVING HOUSEHOLDS (NPISH) consumption expenditure 12.01.11.1 Individual consumption expenditure by NPISHs PPP for household REFERENCE PPPs USED FOR INDIVIDUAL GOVERNMENT SERVICES Housing 13.01.11.1 REFERENCE PPP USED consumption expenditure PPP for household consumption expenditure PPP for household PPP for household consumption expenditure Weighted average of PPPs for transport services and PPPs for restaurants and hotels PPP for household consumption expenditure consumption expenditure PPP for household Exchange rates Exchange rates

Housing

Housing PPPs for actual rentals

13.02.12.4

Hospital services

PPPs for production of health services by government (before deducting receipts from sales)

Production of health services 13.02.22.1 Intermediate consumption

PPPs for individual consumption expenditure by households on the domestic market (excluding all basic headings with reference PPPs) capital formation PPPs for gross PPPs for production of health services by government (without net taxes on production and before deducting receipts from sales) PPPs for production of health services by government (before deducting receipts from sales)

13.02.23.1 13.02.24.1

Gross operating surplus Net taxes on production

13.02.25.1

Receipts from sales

Recreation and culture 13.03.11.1 Recreation and culture

PPPs for individual consumption expenditure by government (excluding social protection, recreation and culture, and before deducting receipts from sales)

13.04.11.1

Education

and reimbursements

PPPs for production of education services by government (before deducting receipts from sales)

Production of education services

87

REFERENCE PPPs USED FOR HOUSEHOLD FINAL CONSUMPTION EXPENDITURE BASIC HEADING 13.04.22.1 Intermediate consumption REFERENCE PPP USED PPPs for individual consumption expenditure by households on the domestic market (excluding all basic headings with refer13.04.23.1 13.04.24.1 Gross operating surplus Net taxes on production ence PPPs) capital formation PPPs for gross PPPs for production of education services by government (without net taxes on production and before deducting receipts 13.04.25.1 Receipts from sales Social protection Social protection from sales) PPPs for production of education services by government (before deducting receipts from sales) 13.05.11.1 PPPs for individual consumption expenditure by government (excluding social protection and recreation and culture and before deducting receipts from sales) REFERENCE PPPs USED FOR COLLECTIVE GOVERNMENT SERVICES 14.01.12.1 Intermediate consumption

PPPs for individual consumption expenditure by households on the domestic market (excluding all basic headings with reference PPPs) PPPs for gross capital formation PPPs for production of collective services by government (without net taxes on production and before deducting receipts from sales) PPPs for production of collective services by government (before deducting receipts from sales)

14.01.13.1 14.01.14.1

Gross operating surplus Net taxes on production

14.01.15.1

Receipts from sales

REFERENCE PPPs USED FOR GROSS CAPITAL FORMATION 16.01.11.1 Opening value of inventories 16.01.11.2 16.02.11.1 16.02.11.2 Closing value of inventories Acquisitions of valuables Disposals of valuables

Weighted average of the PPPs for consumer goods and the PPPs for equipment (investment) goods Weighted average of the PPPs for consumer goods and the PPPs for equipment (investment) goods PPP for gross capital formation PPP for gross capital formation

REFERENCE PPPs USED FOR EXPORTS AND IMPORTS 17 .00.00 Balance of exports and imports

Exchange rates

88

Appendices

APPENDIX F: YAOUNDÉ DECLARATION ON STATISTICAL DEVELOPMENT IN AFRICA

TheDirectorsoftheNationalStatisticsOffices(NSOs)from51Africancountries,havingtakenpartinthemeetingoftheRegional GoverningBoardoftheInternationalComparisonProgramforAfrica(ICP-Africa)on26April,2004inYaoundé,andhavingdeliberated on the urgent and increasingly critical demand for reliable, timely and relevant data necessary for formulating, managing, monitoringandevaluatingdevelopmentpoliciesandprogramsat themeetingoftheDirectorsoftheNSOs,April26-30,2004; Consideringthattheindicatorsproposedwithintheframeworkof ICP-Africawillbeofagreatcontributiontosupportingthedevelopment and monitoring of the Poverty Reduction Strategies as well as supporting the optimal allocation of national resources, thefollow-upoftheimplementationofnationalpoliciesandprogramsfortheattainmentoftheMDGs; Emphasizingthatmoststatisticalprogramslackeffectivemechanismstoensuretheirsustainabilityandownershipbythecountries; Acknowledging the importance of having sound and effective partnerships, identifying synergies, coordinating efforts, and poolingresourcestoadvanceacommongoal; Highlighting that the most critical challenges facing statistical systems in Africa remain the need to create greater awareness amongpolicymakersabouttheimportanceofstatisticsandemphasizingthecriticalimportanceofsecuringfinancialandpolitical commitmentfromgovernmentleaders; Acknowledging that actions to strengthen national statistical agenciesarelikelytooccurintheshorttomediumtermonlywith externalinputthatcomplimentsgovernment'seffort; RecognizingandsupportingtheresolutionoftheSecondInternationalRoundtable,heldinMarrakech,onmanagingfordevelopmentresultsthatcalluponinternationalandnationalpolicymakerstostepuptheirsupportforstatisticalcapacitybuilding; Acknowledgingthegreatstridesthathavebeenmadeinthelast two years under the initiative of ICP-Africa and recognizing the importanceoftheprogrambothasasourceofreliableandpolicy relevantdata,andasacomprehensiveandcoherentregionalcapacitybuildingframework; NotewithsatisfactiontherecommendationsofthesecondmeetingoftheGoverningBoardofICP-Africaandemphasizetheneed

to prepare strategy papers on advocacy and building partnerships; Adopt ICP-Africa as a flagship capacity building initiative in the areaofeconomicstatistics,withparticularemphasisonpricestatisticsandnationalaccounts; Recommend to: A. African Governments: · T oputICP-Africa,aprogramcoveringtheentireAfrica continent, at the core of statistical capacity building programsformembercountries; · T o support statistical activities by making statistics a priorityandallocatingadequateresources; · T o pursue the efforts of statistical harmonization and integrationofactivitiesbytheirNSOs,aswellasregionalandsub-regionalorganizations; · T oensurecapacitybuildinginthedevelopmentofstatisticalmasterplans;inthecoordinationofnationalstatisticalsystems;inhumanresourcedevelopment(training, attraction and retention); and in analysis, report writinganddissemination; B. the bilateral agencies and international institutions · T ocontinueworkingintheareaofstatisticalcapacitybuildingbyallocatingmorefinancialandmaterial resourcestostatisticalactivities; · T oimprovetheirpartnershipcollaborationtofacilitate synergy so as to ensure effective and coordinatedsupporttothecountries; · T oengageinadvocacyworksoastogivestatistics a high profile and to secure financial and political commitmentfromAfricangovernments. C. the ADB as coordinating agency for ICP-Africa · T o enhance priority given to statistics and provide optimalresources,bothfinancialandtechnical,for supportingstatisticalactivitiesintheAfricancountries,giventheimportanceofstatisticsinformulating, monitoring and evaluating poverty reduction strategies,inmonitoringtheMDGsandinmanaging fordevelopmentresults. Adopted this 30th day of April, 2004 at Yaoundé, Cameroon.

89

APPENDIX G: ACCRA DECLARATION ARISING FROM THE AFRICAN DEVELOPMENT BANK'S INTERNATIONAL COMPARISON PROGRAM WORKSHOP

· T he Heads of National statistical Offices (NSOs) from 50Africancountries,meetinginAccraonDecember1, 2007, and following up on the Yaounde Declaration on StatisticalDevelopmentinAfrica; E ncouraged by the reinvigoration of the collaboration betweentheAfricanUnionCommission(AUC),theAfrican Development Bank and the Economic CommissionforAfrica(ECA)andtheAfricanCapacityBuilding Foundation (ACBF) to enhancing their partnership in statistical development, in the implementation of the ReferenceRegionalStrategicFrameworkforStatistical CapacitybuildinginAfrica(RRSF)andsupportingSTATCOM-Africa; C ommending the efficiency in which the AfDB implementedtheICP-Africaasastatisticalcapacitybuilding activityinparticipatingmembercountries; C ommendingthededicatedmannerinwhichparticipating sub-regional organizations (AFRISTAT, COMESA, ECOWAS,SADC)coordinatedandsupervisedtheimplementationofthesurveyattheregionallevel; C ommendingtheGovernmentsforparticipatingandfor providingfinancialcontribution; C onsideringtheneedtostrengthenallAfricanstatisticalinitiativesinordertoensuresustainabilityofstatisticalprogramsandcountryownership; C ommittingourselvestotheadoptionoftheReference Regional Strategic Framework for Statistical Capacity buildinginAfrica(RRSF),intermsofcoordinationand creatingsynergiesaswellasanoptimaluseofresources whichshouldbeallocatedtostatisticaldevelopment; T akingintoaccounttheincreaseddemandforstatistics due to the commitment of the development communitytomanagingfordevelopmentresults,focusingon measuringresults,emphasizingquantitativetargetsin the MDGs, NEPAD initiative, and the requirement for monitoringprogresswithinPRSPs; C onsidering the significant role played by statistical trainingcentersinhumancapacitydevelopmentinthe region; C onsideringthatthisisthemostsuccessfulAfricawide statisticalendeavorledbyanAfricaninstitution; A ppreciatingthesupportrenderedbytheAfricanDevelopmentBank(ADB)tocountriesinstrengtheningtheir Price Statistics activities, improving their National Ac-

counts;andindevelopingtheirNationalStrategiesfor theDevelopmentofStatistics; Commitments: · T heHeadsofNSOs,havingreviewedandendorsedthe resultsoftheinternationalcomparisonprogramofparticipating countries in the International Comparison ProgramfortheAfricaregion(ICP-Africa),committo: A ctively pursue the dissemination of the ICP Results; I ntegrate the ICP activities into their CPI activities; T heimplementationoftheReferenceRegionalStrategicFrameworkforStatisticalCapacity buildinginAfrica(RRSF); C ooperatetechnicallyamongthemselves. Recommend a) To the African governments to: · I mplementtheRRSFthroughthedevelopmentandimplementationoftheNSDS; · P romotestatisticalharmonizationworkbyensuringthat STATCOM-Africaoperatesasaprogrammingframework intheareaofstatistics; · I ncrease advocacy and sensitization activities to decisionmakers. · G ive a higher priority, including providing adequate funding, for the development of statistics to support evidence based development strategies in the countries. b) · To bilateral, international and regional organizations to: M aintainandstrengthentheirstatisticalsupporttoAfricancountrieswithintheReferenceRegionalStrategic Framework for Statistical Capacity building in Africa (RRSF); C ontinueworkintheareaofstatisticalcapacitybuilding byscalingupfinancialandmaterialresourcestostatisticalactivities; C ontinuetoworktowardssustainabilityofsynergiesalreadydeveloped; Ensurethataidresourcesareallocatedeffectively. To the African Development Bank in particular, to: S ignificantly scale up a follow up statistical capacity buildingprogramthatwillassistcountriestostrengthen Statistical capacities to support MDGs monitoring andtheresultsagenda;

·

·

·

· ·

·

·

·

· · c) ·

·

· ·

90

Information

16 pages

Find more like this

Report File (DMCA)

Our content is added by our users. We aim to remove reported files within 1 working day. Please use this link to notify us:

Report this file as copyright or inappropriate

1286619


You might also be interested in

BETA
Flyleaf August 2011.vp